Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", Naples, Italy.
Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Front Endocrinol (Lausanne). 2021 Nov 30;12:748944. doi: 10.3389/fendo.2021.748944. eCollection 2021.
Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports in Neuroendocrine Neoplasms during the staging phase in order to improve communication between the radiologist and members of multidisciplinary teams.
A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology, was established. A Modified Delphi process was used to develop the SR and to assess a level of agreement for all report sections. Cronbach's alpha (Cα) correlation coefficient was used to assess internal consistency for each section and to measure quality analysis according to the average inter-item correlation.
The final SR version was built by including n=16 items in the "Patient Clinical Data" section, n=13 items in the "Clinical Evaluation" section, n=8 items in the "Imaging Protocol" section, and n=17 items in the "Report" section. Overall, 54 items were included in the final version of the SR. Both in the first and second round, all sections received more than a good rating: a mean value of 4.7 and range of 4.2-5.0 in the first round and a mean value 4.9 and range of 4.9-5 in the second round. In the first round, the Cα correlation coefficient was a poor 0.57: the overall mean score of the experts and the sum of scores for the structured report were 4.7 (range 1-5) and 728 (mean value 52.00 and standard deviation 2.83), respectively. In the second round, the Cα correlation coefficient was a good 0.82: the overall mean score of the experts and the sum of scores for the structured report were 4.9 (range 4-5) and 760 (mean value 54.29 and standard deviation 1.64), respectively.
The present SR, based on a multi-round consensus-building Delphi exercise following in-depth discussion between expert radiologists in gastro-enteric and oncological imaging, derived from a multidisciplinary agreement between a radiologist, medical oncologist and surgeon in order to obtain the most appropriate communication tool for referring physicians.
放射学中的结构化报告(SR)变得越来越必要,并且最近已被主要科学学会认可。本研究旨在构建基于 CT 的神经内分泌肿瘤分期阶段的结构化报告,以改善放射科医生与多学科团队成员之间的沟通。
成立了一组专家放射科医生,他们是意大利医学和介入放射学会的成员。使用改良 Delphi 流程来开发 SR,并评估所有报告部分的一致性水平。Cronbach's alpha(Cα)相关系数用于评估每个部分的内部一致性,并根据平均项目间相关性进行质量分析。
最终的 SR 版本包含“患者临床数据”部分的 n=16 项、“临床评估”部分的 n=13 项、“成像协议”部分的 n=8 项和“报告”部分的 n=17 项。总体而言,最终版本的 SR 包含 54 项内容。在第一轮和第二轮中,所有部分都获得了良好以上的评价:第一轮的平均值为 4.7,范围为 4.2-5.0,第二轮的平均值为 4.9,范围为 4.9-5。在第一轮中,Cα 相关系数较差,为 0.57:专家的总体平均得分和结构化报告的总分分别为 4.7(范围 1-5)和 728(平均值 52.00,标准差 2.83)。在第二轮中,Cα 相关系数较好,为 0.82:专家的总体平均得分和结构化报告的总分分别为 4.9(范围 4-5)和 760(平均值 54.29,标准差 1.64)。
本研究基于多轮共识构建 Delphi 练习,在胃肠和肿瘤成像方面的专家放射科医生进行深入讨论后,根据放射科医生、肿瘤内科医生和外科医生之间的多学科协议得出,旨在为转诊医生获得最合适的沟通工具。